XGBoost Algorithm under Differential Privacy Protection
نویسندگان
چکیده
منابع مشابه
Differential Privacy Under Fire
Anonymizing private data before release is not enough to reliably protect privacy, as Netflix and AOL have learned to their cost. Recent research on differential privacy opens a way to obtain robust, provable privacy guarantees, and systems like PINQ and Airavat now offer convenient frameworks for processing arbitrary userspecified queries in a differentially private way. However, these systems...
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ژورنال
عنوان ژورنال: Journal of Information Hiding and Privacy Protection
سال: 2021
ISSN: 2637-4226
DOI: 10.32604/jihpp.2021.012193